Main
Francisko de Moraes Rezende
Education
MSc, Ecology and Evolutionary Biology
Jyväskylä, Finland
University of Jyväskylä
2019 - 2016
- Thesis: “Variable light conditions affect warning signal efficacy in an aposematic polymorphic moth”; Grade: 4/5.
- My degree was graded as “Excellent”, the highest grade awarded to degrees at JYU
BSc, Biological Sciences
Viçosa, MG, Brazil
Federal University of Viçosa
2016 - 2009
- Monograph: “What drives changes in composition of ant assemblages along a vertical gradient?”
Visiting student
Helsinki, Finland
University of Helsinki
2014 - 2013
- Attended Master’s level courses and did an internship at the research group “Social Evolution in Ants”
Research Experience
Master’s thesis development
Evolution of predator-prey interactions group
University of Jyväskylä
2019 - 2017
- I did my thesis work in Professor Johanna Mappe’s group. I investigated the effects of different light conditions affected the predation pressure suffered by Actia plantaginis, an aposematic species that is also color polymorphic. I also attended the group’s weekly meetings during which we discussed papers, and presented research projects.
Research apprentice
Laboratório de Ecologia de Comunidades (LABECOL)
Federal University of Viçosa
2016 - 2011
- I was part of different ant community ecology and biodiversity research projects, and conducted the project that resulted in my bachelor’s monograph. I had experience with sampling and identifying ants, data analysis and scientific writing, among other activities related to the research group.
Research apprentice
Social Evolution in Ants
University of Helsinki
2014 - 2013
- I worked as research apprentice in the group “Social Evolution in Ants” during my exchange year at University of Helsinki. I was part of projects related to ecology, evolution, behaviour, and population biology of Formica and Myrmica ants. I had experience with sampling and sorting ant colonies, setting-up and maintaining experimental colonies in the lab and recording results from lab experiments. I also helped with mark/recapture sampling and survival assays using ants.
Teaching Experience
I am passionate about education. I believe that no topic is too complex if the teacher is empathetic and willing to think about new methods of approaching task.
Data Visualization Best Practices
DataCamp
N/A
2019
- Designed from bottom up course to teach best practices for scientific visualizations.
- Uses R and ggplot2.
- In top 10% on platform by popularity.
Improving your visualization in Python
DataCamp
N/A
2019
- Designed from bottom up course to teach advanced methods for enhancing visualization.
- Uses python, matplotlib, and seaborn.
Advanced Statistical Learning and Inference
Vanderbilt Biostatistics Department
Nashville, TN
2018 - 2017
- TA and lectured
- Topics covered from penalized regression to boosted trees and neural networks
- Highest level course offered in department
Advanced Statistical Computing
Vanderbilt Biostatistics Department
Nashville, TN
2018
- TA and lectured
- Covered modern statistical computing algorithms
- 4th year PhD level class
Statistical Computing in R
Vanderbilt Biostatistics Department
Nashville, TN
2017
- TA and lectured
- Covered introduction to R language for statistics applications
- Graduate level class
Selected Data Science Writing
I regularly blog about data science and visualization on my blog LiveFreeOrDichotomize.
Selected Publications, Posters, and Talks
Charge Reductions Associated with Shortening Time to Recovery in Septic Shock
Chest
N/A
2019
- Authored with Wesley H. Self, MD MPH; Dandan Liu, PhD; Stephan Russ, MD, MPH; Michael J. Ward, MD, PhD, MBA; Nathan I. Shapiro, MD, MPH; Todd W. Rice, MD, MSc; Matthew W. Semler, MD, MSc.
Multimorbidity Explorer | A shiny app for exploring EHR and biobank data
RStudio::conf 2019
N/A
2019
- Contributed Poster. Authored with Yaomin Xu.
Taking a network view of EHR and Biobank data to find explainable multivariate patterns
Vanderbilt Biostatistics Seminar Series
N/A
2019
- University wide seminar series.
Patient-specific risk factors independently influence survival in Myelodysplastic Syndromes in an unbiased review of EHR records
Under-Review (copy available upon request.)
N/A
2019
- Bayesian network analysis used to find novel subgroups of patients with Myelodysplastic Syndromes (MDS).
- Analysis done using method built for my dissertation.
Patient specific comorbidities impact overall survival in myelofibrosis
Under-Review (copy available upon request.)
N/A
2019
- Bayesian network analysis used to find robust novel subgroups of patients with given genetic mutations.
- Analysis done using method built for my dissertation.
R timelineViz: Visualizing the distribution of study events in longitudinal studies
Under-Review (copy available upon request.)
N/A
2018
- Authored with Alex Sunderman of the Vanderbilt Department of Epidemiology.
Continuous Classification using Deep Neural Networks
Vanderbilt Biostatistics Qualification Exam
N/A
2017
- Review of methods for classifying continuous data streams using neural networks
- Successfully met qualifying examination standards
Asymmetric Linkage Disequilibrium: Tools for Dissecting Multiallelic LD
Journal of Human Immunology
N/A
2015
- Authored with Richard Single, Vanja Paunic, Mark Albrecht, and Martin Maiers.
An Agent Based Model of Mysis Migration
International Association of Great Lakes Research Conference
N/A
2015
- Authored with Brian O’Malley, Sture Hansson, and Jason Stockwell.
Declines of Mysis diluviana in the Great Lakes
Journal of Great Lakes Research
N/A
2015
- Authored with Peter Euclide and Jason Stockwell.